A novel multidimensional signature predicts prognosis in hepatocellular carcinoma patients

doi:10.1002/jcp.27818

	A novel multidimensional signature predicts prognosis in hepatocellular carcinoma patients
	Wang, Song 1; Zhang, Jian-Hua 2; Wang, Huan 1; Yang, Lu 1; Hong, Shuai 3; Yu, Bo 3; Guo, Jin-Cheng 3; Liu, Jing 4; Zhu, Yan-Bing 1
	2019-07-01
发表期刊	JOURNAL OF CELLULAR PHYSIOLOGY
ISSN	0021-9541
卷号	234 期号:7 页码:11610-11619
摘要	The abnormal expression of microRNAs (miRNAs) or protein-coding genes (PCGs) have been found to be associated with the prognosis of hepatocellular carcinoma (HCC) patients. Using bioinformatics analysis methods including Cox's proportional hazards regression analysis, the random survival forest algorithm, Kaplan-Meier, and receiver operating characteristic (ROC) curve analysis, we mined the gene expression profiles of 469 HCC patients from The Cancer Genome Atlas (n=379) and Gene Expression Omnibus (GSE14520; n=90) public database. We selected a signature comprising one protein-coding gene (PCG; DNA polymerase ) and three miRNAs (hsa-miR-149-5p, hsa-miR-424-5p, hsa-miR-579-5p) with highest accurate prediction (area under the ROC curve [AUC]=0.72; n=189) from the training data set. The signature stratified patients into high- and low-risk groups with significantly different survival (median 27.9 vs. 55.2 months, log-rank test, p<0.001) in the training data set, and its risk stratification ability were validated in the test data set (median 47.4 vs. 84.4 months, log-rank test, p=0.03) and an independent data set (median 31.0 vs. 46.0 months, log-rank test, p=0.01). Multivariable Cox regression analysis showed that the signature was an independent prognostic factor. And the signature was proved to have a better survival prediction power than tumor-node-metastasis (TNM) stage (AUC (signature)=0.72/0.64/0.62 vs. AUC (TNM)=0.65/0.61/0.61; p<0.05). Moreover, we validated the expression of these prognostic genes from the PCG-miRNA signature in Huh-7 cell by real-time polymerase chain reaction. In conclusion, we found a signature that can predict survival of HCC patients and serve as a prognostic marker for HCC.
关键词	hepatocellular carcinoma microRNAs prognostic protein-coding genes signature
DOI	10.1002/jcp.27818
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[81771235]
WOS研究方向	Cell Biology ; Physiology
WOS类目	Cell Biology ; Physiology
WOS记录号	WOS:000462645700156
出版者	WILEY
引用统计	被引频次：17[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/4280
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Guo, Jin-Cheng; Liu, Jing; Zhu, Yan-Bing
作者单位	1.Capital Univ Med Sci, Beijing Friendship Hosp, Expt & Translat Res Ctr, Beijing 100050, Peoples R China 2.Peking Univ, Peoples Hosp, Dept Blood Transfus, Beijing, Peoples R China 3.Chinese Acad Sci, Inst Comp Technol, State Key Lab Comp Architecture, Key Lab Intelligent Informat Proc, Beijing 100000, Peoples R China 4.Northwest Univ, Coll Life Sci, Xian 710069, Shaanxi, Peoples R China
推荐引用方式 GB/T 7714	Wang, Song,Zhang, Jian-Hua,Wang, Huan,et al. A novel multidimensional signature predicts prognosis in hepatocellular carcinoma patients[J]. JOURNAL OF CELLULAR PHYSIOLOGY,2019,234(7):11610-11619.
APA	Wang, Song.,Zhang, Jian-Hua.,Wang, Huan.,Yang, Lu.,Hong, Shuai.,...&Zhu, Yan-Bing.(2019).A novel multidimensional signature predicts prognosis in hepatocellular carcinoma patients.JOURNAL OF CELLULAR PHYSIOLOGY,234(7),11610-11619.
MLA	Wang, Song,et al."A novel multidimensional signature predicts prognosis in hepatocellular carcinoma patients".JOURNAL OF CELLULAR PHYSIOLOGY 234.7(2019):11610-11619.